Summary
Agam Dwivedi is a founding software engineer and MS Computer Science candidate at UW–Madison with nine years of experience applying computer vision and ML to real-world problems. He built a mobile app using custom YOLOv5/YOLOv8 models for real-time detection of digital dermatitis in cattle (mAP 0.93, Kappa 0.72) and has prior industry experience improving semiconductor wafer prediction accuracy by ~20% at Samsung using PyTorch tabular models and explainable AI techniques. Comfortable shipping end-to-end systems, he has delivered cross-platform mobile solutions, C#/WPF desktop modules integrated with Python backends, and a published Sanskrit OCR based on attention LSTMs. Based in Palo Alto, he is now scaling a legal platform as a founding engineer while seeking full-time roles in CV, ML, or software engineering, combining rigorous research credentials (3.9 GPA) with production-grade deployment experience. An interesting detail: he pairs academic research metrics with production constraints—optimizing both model performance and real-time mobile inference.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.9/4, Master of Science - MS, Computer Science, 3.9/4 at University of Wisconsin-Madison
Bachelor's degree, Electrical, Electronics and Communications Engineering, 9.06/10, Bachelor's degree, Electrical, Electronics and Communications Engineering, 9.06/10 at Indian Institute Of Information Technology
English, Hindi